Philips, Internship: AI & Automation

• Identify and prioritize opportunities to improve the Philips security control framework and security-assessment processes through AI and automation.
• Map assessment workflows, stakeholder needs, relevant data sources and practical constraints.
• Prepare, structure and analyze real-world security and control data.
• Develop proof-of-concept AI-assisted or automated assessment workflows and, where feasible, support their progression toward a pilot.
• Define evaluation measures covering quality, reliability, false positives, false negatives, explainability and user trust.
• Apply appropriate privacy, information-security, traceability and human-review requirements throughout the work.
• Test prototypes with stakeholders, incorporate feedback and communicate findings through clear analyses, visualizations and decision-ready recommendations.
• Document the approach, limitations and recommended next steps so the work can be understood and continued by the team.

• You are currently pursuing a Bachelor or Master degree in Data Science, Artificial Intelligence, Computer Science, Cybersecurity or a related discipline.
• You have experience with data analysis and rapid prototyping through coursework, projects or previous work.
• You are comfortable working with incomplete or imperfect real-world data.
• You can explain technical findings clearly to non-technical stakeholders.
• You are curious, proactive and interested in learning about information security.
• Experience with real life application of AI and AI supported automation in cybersecurity is an advantage, but it is not required
• This internship will suit someone who enjoys working end-to-end: from understanding data and stakeholder needs to testing a practical solution and communicating what should happen next.

Please submit your resume and one or two examples of relevant coursework, personal projects, team projects or previous work. For collaborative projects, briefly describe your contribution.